top of page
  • Mr Analytics

Getting Started with Python: The Guide to Installation, Running Your First Script, and Popular IDE


Getting Started with Python: The Guide to Installation, Running Your First Script, and Popular IDEsGetting Started with Python: The Guide to Installation, Running Your First Script, and Popular IDEs

Python has rapidly become one of the most popular programming languages in the world, renowned for its simplicity, versatility, and powerful libraries. Whether you're a beginner taking your first steps into the world of programming or an experienced developer looking to expand your skill set, Python offers a wealth of opportunities.


In this blog post, we will walk you through the basics of Python, from downloading the latest version to running your first "Hello World" script, and introduce you to popular Integrated Development Environments (IDEs) that serve as counterparts to RStudio in the R programming world.


Python is a high-level, interpreted programming language known for its readability and ease of use. Developed in the late 1980s by Guido van Rossum, Python has since gained immense popularity in various domains, including web development, data science, artificial intelligence, and more. Its simple syntax and extensive standard library make it an ideal choice for both beginners and professionals.


Python Installation

You can download Python from the official website. As of the writing of this blog post, the latest stable version of Python is Python 3.10.1. It is always recommended to use the latest stable version to take advantage of the newest features and improvements.


For Windows:

  1. Visit the Python Downloads page.

  2. Click on the "Windows" link under "Stable Releases."

  3. Download the latest version installer.

  4. Run the installer and follow the on-screen instructions.

For macOS:

  1. Visit the Python Downloads page.

  2. Download the macOS installer.

  3. Run the installer and follow the on-screen instructions.

For Linux:

Python is pre-installed on most Linux distributions. If not, you can install it using the package manager:


sudo apt-get update  
sudo apt-get install python3

Running Python for the First Time

After installing Python, you can open the Python interpreter by typing python or python3 in your terminal or command prompt:

python3

You should see the Python interpreter running, displaying the version and a prompt (>>>) where you can start typing Python code.


Popular IDEs for Python

Just like RStudio is a popular IDE for R programming, Python has several popular IDEs that offer powerful features to streamline your coding experience. Here are some of the most widely used Python IDEs:


PyCharm

  • PyCharm is a professional IDE developed by JetBrains, offering a comprehensive set of tools for Python development.

  • Features: Code completion, syntax highlighting, debugging tools, integrated test runner, and more.

  • Website: PyCharm Official Website

Visual Studio Code (VS Code)

  • Visual Studio Code is a free, open-source IDE developed by Microsoft. It has a strong Python extension that provides excellent support for Python development.

  • Features: IntelliSense, debugging, embedded Git control, and more.

  • Website: VS Code Official Website

Jupyter Notebook

  • Jupyter Notebook is an open-source web application that allows you to create and share documents containing live code, equations, visualizations, and narrative text.

  • Features: Interactive computing, data visualization, and documentation.

  • Website: Jupyter Official Website

Code Example: Hello World

Let's start with the classic "Hello World" program. Type the following command in the Python interpreter:


print("Hello World!")

Press Enter, and you should see the output Hello World! displayed on the screen.


You've now successfully installed Python, explored popular IDEs, and run your first Python script. This is just the beginning of your journey with Python, a powerful and versatile programming language. Stay tuned for more tutorials and guides to help you master Python and leverage its capabilities for personal finance analytics.

2 views
bottom of page